From Wikipedia, the free encyclopedia
A complex number can be visually represented as a pair of numbers
(a, b) forming a vector on a diagram called an
Argand diagram, representing the
complex plane. "Re" is the real axis, "Im" is the imaginary axis, and
i satisfies
i2 = −1.
A
complex number is a
number that can be expressed in the form
a + bi, where
a and
b are real numbers, and
i is a solution of the equation
x2 = −1. Because no
real number satisfies this equation,
i is called an
imaginary number. For the complex number
a + bi,
a is called the
real part, and
b is called the
imaginary part.
Despite the historical nomenclature "imaginary", complex numbers are
regarded in the mathematical sciences as just as "real" as the real
numbers, and are fundamental in many aspects of the scientific
description of the natural world.
[1][2]
The complex number system can be defined as the
algebraic extension of the ordinary real numbers by an imaginary number
i.
[3] This means that complex numbers can be added, subtracted, and multiplied, as polynomials in the variable
i, with the rule
i2 = −1 imposed. Furthermore, complex numbers can also be divided by nonzero complex numbers. Overall, the complex number system is a
field.
Most importantly the complex numbers give rise to the
fundamental theorem of algebra: every non-constant
polynomial
equation with complex coefficients has a complex solution. This
property is true of the complex numbers, but not the reals. The 16th
century Italian mathematician
Gerolamo Cardano is credited with introducing complex numbers in his attempts to find solutions to
cubic equations.
[4]
Geometrically, complex numbers extend the concept of the
one-dimensional number line to the
two-dimensional complex plane by using the
horizontal axis for the real part and the
vertical axis for the imaginary part. The complex number
a + bi can be identified with the point
(a, b) in the complex plane. A complex number whose real part is zero is said to be purely
imaginary;
the points for these numbers lie on the vertical axis of the complex
plane. A complex number whose imaginary part is zero can be viewed as a
real number; its point lies on the horizontal axis of the complex plane. Complex numbers can also be represented in polar form, which associates
each complex number with its distance from the origin (its magnitude)
and with a particular angle known as the
argument of this complex number.
Overview
Complex numbers allow solutions to certain equations that have no solutions in
real numbers. For example, the equation
has no real solution, since the square of a real number cannot be
negative. Complex numbers provide a solution to this problem. The idea
is to
extend the real numbers with an
indeterminate i (sometimes called the
imaginary unit) that is taken to satisfy the relation
i2 = −1, so that solutions to equations like the preceding one can be found. In this case the solutions are
−1 + 3i and
−1 − 3i, as can be verified using the fact that
i2 = −1:
According to
the fundamental theorem of algebra, all
polynomial equations with real or complex coefficients in a single variable have a solution in complex numbers.
Definition
An illustration of the
complex plane. The real part of a complex number
z = x + iy is
x, and its imaginary part is
y.
A complex number is a number of the form
a + bi, where
a and
b are real numbers and
i is an indeterminate satisfying
i2 = −1. For example,
2 + 3i is a complex number.
[5]
A complex number may therefore be defined as a polynomial in the single indeterminate
i, with the relation
i2 + 1 = 0
imposed. From this definition, complex numbers can be added or
multiplied, using the addition and multiplication for polynomials.
Formally, the set of complex numbers is the
quotient ring of the
polynomial ring in the indeterminate
i, by the
ideal generated by the polynomial
i2 + 1 (see
below).
[6] The
set of all complex numbers is denoted by
(upright bold) or
(
blackboard bold).
The real number
a is called the
real part of the complex number
a + bi; the real number
b is called the
imaginary part of
a + bi. By this convention, the imaginary part does not include a factor of
i: hence
b, not
bi, is the imaginary part.
[7][8] The real part of a complex number
z is denoted by
Re(z) or
ℜ(z); the imaginary part of a complex number
z is denoted by
Im(z) or
ℑ(z). For example,
A real number
a can be regarded as a complex number
a + 0i whose imaginary part is 0. A purely
imaginary number bi is a complex number
0 + bi whose real part is zero. It is common to write
a for
a + 0i and
bi for
0 + bi. Moreover, when the imaginary part is negative, it is common to write
a − bi with
b > 0 instead of
a + (−b)i, for example
3 − 4i instead of
3 + (−4)i.
Cartesian form and definition via ordered pairs
A complex number can thus be identified with an
ordered pair (Re(z),Im(z)) in the Cartesian plane, an identification sometimes known as the Cartesian form of
z. In fact, a complex number can be
defined as an ordered pair
(a,b), but then rules for addition and multiplication must also be included as part of the definition (see
below).
[9] William Rowan Hamilton introduced this approach to define the complex number system.
[10]
Complex plane
Figure 1: A complex number
z, plotted as a point (red) and position vector (blue) on an
Argand diagram;
a+bi is its
rectangular expression.
A complex number can be viewed as a point or
position vector in a two-dimensional
Cartesian coordinate system called the complex plane or
Argand diagram (see
Pedoe 1988 and
Solomentsev 2001), named after
Jean-Robert Argand.
The numbers are conventionally plotted using the real part as the
horizontal component, and imaginary part as vertical (see Figure 1).
These two values used to identify a given complex number are therefore
called its
Cartesian,
rectangular, or
algebraic form.
A position vector may also be defined in terms of its magnitude and
direction relative to the origin. These are emphasized in a complex
number's
polar form.
Using the polar form of the complex number in calculations may lead to a
more intuitive interpretation of mathematical results. Notably, the
operations of addition and multiplication take on a very natural
geometric character when complex numbers are viewed as position vectors:
addition corresponds to
vector addition
while multiplication corresponds to multiplying their magnitudes and
adding their arguments (i.e. the angles they make with the
x axis). Viewed in this way the multiplication of a complex number by
i corresponds to rotating the position vector
counterclockwise by a quarter
turn (
90°) about the origin:
(a+bi)i =
ai+bi2 =
-b+ai.
History in brief
The solution in radicals (without
trigonometric functions) of a general cubic equation contains the square roots of
negative numbers when all three roots are real numbers, a situation that cannot be rectified by factoring aided by the
rational root test if the cubic is
irreducible (the so-called
casus irreducibilis). This conundrum led Italian mathematician
Gerolamo Cardano to conceive of complex numbers in around 1545,
[11] though his understanding was rudimentary.
Work on the problem of general polynomials ultimately led to the
fundamental theorem of algebra, which shows that with complex numbers, a solution exists to every
polynomial equation of degree one or higher. Complex numbers thus form an
algebraically closed field, where any
polynomial equation has a
root.
Many mathematicians contributed to the full development of complex
numbers. The rules for addition, subtraction, multiplication, and
division of complex numbers were developed by the Italian mathematician
Rafael Bombelli.
[12] A more abstract formalism for the complex numbers was further developed by the Irish mathematician
William Rowan Hamilton, who extended this abstraction to the theory of
quaternions.
Notation
Because it is a polynomial in the indeterminate
i,
a + ib may be written instead of
a + bi, which is often expedient when
b is a radical.
[13] In some disciplines, in particular
electromagnetism and
electrical engineering,
j is used instead of
i,
[14] since
i is frequently used for
electric current. In these cases complex numbers are written as
a + bj or
a + jb.
Equality and order relations
Two complex numbers are equal
if and only if both their real and imaginary parts are equal. That is, complex numbers
and
are equal if and only if
and
.
If the complex numbers are written in polar form, they are equal if and
only if they have the same argument and the same magnitude.
Because complex numbers are naturally thought of as existing on a two-dimensional plane, there is no natural
linear ordering on the set of complex numbers. Furthermore, there is no
linear ordering
on the complex numbers that is compatible with addition and
multiplication – the complex numbers cannot have the structure of an
ordered field. This is because any square in an ordered field is at least
0, but
i2 = −1.
Elementary operations
Conjugate
Geometric representation of
z and its conjugate
in the complex plane
The
complex conjugate of the complex number
z = x + yi is defined to be
x − yi. It is denoted by either
or
z*.
[15]
Geometrically,
is the
"reflection" of
z about the real axis. Conjugating twice gives the original complex number:
.
The real and imaginary parts of a complex number
z can be extracted using the conjugate:
Moreover, a complex number is real if and only if it equals its own conjugate.
Conjugation distributes over the standard arithmetic operations:
Addition and subtraction
Addition of two complex numbers can be done geometrically by constructing a parallelogram.
Complex numbers are
added by separately adding the real and imaginary parts of the summands. That is to say:
Similarly,
subtraction is defined by
Using the visualization of complex numbers in the complex plane, the
addition has the following geometric interpretation: the sum of two
complex numbers
A and
B, interpreted as points of the complex plane, is the point
X obtained by building a
parallelogram, three of whose vertices are
O,
A and
B. Equivalently,
X is the point such that the
triangles with vertices
O,
A,
B, and
X,
B,
A, are
congruent.
Multiplication and division
The multiplication of two complex numbers is defined by the following formula:
In particular, the
square of
i is −1:
The preceding definition of multiplication of general complex numbers follows naturally from this fundamental property of
i. Indeed, if
i is treated as a number so that
di means
d times
i, the above multiplication rule is identical to the usual rule for multiplying two sums of two terms.
- (distributive property)
-
- (commutative property of addition—the order of the summands can be changed)
- (commutative and distributive properties)
- (fundamental property of i).
The division of two complex numbers is defined in terms of complex
multiplication, which is described above, and real division. When at
least one of
c and
d is non-zero, we have
Division can be defined in this way because of the following observation:
As shown earlier,
c − di is the complex conjugate of the denominator
c + di. At least one of the real part
c and the imaginary part
d of the
denominator must be nonzero for division to be defined. This is called "
rationalization" of the denominator (although the denominator in the final expression might be an irrational real number).
Reciprocal
The
reciprocal of a nonzero complex number
z = x + yi is given by
This formula can be used to compute the multiplicative inverse of a complex number if it is given in rectangular coordinates.
Inversive geometry,
a branch of geometry studying reflections more general than ones about a
line, can also be expressed in terms of complex numbers. In the
network analysis of electrical circuits, the complex conjugate is used in finding the equivalent impedance when the
maximum power transfer theorem is used.
Square root
The square roots of
a + bi (with
b ≠ 0) are
, where
and
where sgn is the
signum function. This can be seen by squaring
to obtain
a + bi.
[16][17] Here
is called the
modulus of
a + bi, and the square root sign indicates the square root with non-negative real part, called the
principal square root; also
, where
.
[18]
Polar form
Figure 2: The argument
φ and modulus
r locate a point on an Argand diagram;
or
are
polar expressions of the point.
Absolute value and argument
An alternative way of defining a point
P in the complex plane, other than using the
x- and
y-coordinates, is to use the distance of the point from
O, the point whose coordinates are
(0, 0) (the
origin), together with the angle subtended between the
positive real axis and the line segment
OP in a counterclockwise direction. This idea leads to the polar form of complex numbers.
The
absolute value (or
modulus or
magnitude) of a complex number
z = x + yi is
[19]
If
z is a real number (that is, if
y = 0), then
r = | x |. That is, the absolute value of a real number equals its absolute value as a complex number.
By
Pythagoras' theorem, the absolute value of complex number is the distance to the origin of the point representing the complex number in the
complex plane.
The square of the absolute value is
where
is the
complex conjugate of
.
The
argument of
z (in many applications referred to as the "phase") is the angle of the
radius OP with the positive real axis, and is written as
. As with the modulus, the argument can be found from the rectangular form
:
[20]
Visualisation of the square to sixth roots of a complex number z, in polar form reiφ where φ = arg z and r = |z | – if z is real, φ = 0 or π. Principal roots are in black.
Normally, as given above, the
principal value in the interval
(−π,π] is chosen. Values in the range
[0,2π) are obtained by adding
2π if the value is negative. The value of
φ is expressed in
radians in this article. It can increase by any integer multiple of
2π and still give the same angle. Hence, the arg function is sometimes considered as
multivalued. The polar angle for the complex number 0 is indeterminate, but arbitrary choice of the angle 0 is common.
The value of
φ equals the result of
atan2:
Together,
r and
φ give another way of representing complex numbers, the
polar form,
as the combination of modulus and argument fully specify the position
of a point on the plane. Recovering the original rectangular
co-ordinates from the polar form is done by the formula called
trigonometric form
Using
Euler's formula this can be written as
Using the
cis function, this is sometimes abbreviated to
In
angle notation, often used in
electronics to represent a
phasor with amplitude
r and phase
φ, it is written as
[21]
Multiplication and division in polar form
Multiplication of
2 + i (blue triangle) and
3 + i (red triangle). The red triangle is rotated to match the vertex of the blue one and stretched by
√5, the length of the
hypotenuse of the blue triangle.
Formulas for multiplication, division and exponentiation are simpler
in polar form than the corresponding formulas in Cartesian coordinates.
Given two complex numbers
z1 = r1(cos φ1 + i sin φ1) and
z2 = r2(cos φ2 + i sin φ2), because of the well-known trigonometric identities
we may derive
In other words, the absolute values are multiplied and the arguments
are added to yield the polar form of the product. For example,
multiplying by
i corresponds to a quarter-
turn counter-clockwise, which gives back
i2 = −1. The picture at the right illustrates the multiplication of
Since the real and imaginary part of
5 + 5i are equal, the argument of that number is 45 degrees, or π/4 (in
radian). On the other hand, it is also the sum of the angles at the origin of the red and blue triangles are
arctan(1/3) and arctan(1/2), respectively. Thus, the formula
holds. As the
arctan function can be approximated highly efficiently, formulas like this—known as
Machin-like formulas—are used for high-precision approximations of
π.
Similarly, division is given by
Exponentiation
Euler's formula
Euler's formula states that, for any real number
x,
- ,
where
e is the
base of the natural logarithm. This can be proved through induction by observing that
and so on, and by considering the
Taylor series expansions of
eix,
cos x and
sin x:
The rearrangement of terms is justified because each series is
absolutely convergent.
Natural logarithm
It follows from Euler's formula that, for any complex number
z written in polar form,
where
r is a non-negative real number, one possible value for the
complex logarithm of
z is
Because cosine and sine are periodic functions, other possible values may be obtained. For example,
, so both
and
are two possible values for the natural logarithm of
.
To deal with the existence of more than one possible value for a
given input, the complex logarithm may be considered a multi-valued
function, with
Alternatively, a
branch cut can be used to define a single-valued "branch" of the complex logarithm.
Integer and fractional exponents
We may use the identity
to define complex exponentiation, which is likewise multi-valued:
When
n is an integer, this simplifies to
de Moivre's formula:
The
nth
roots of
z are given by
for any integer
k satisfying
0 ≤ k ≤ n − 1. Here
n√r is the usual (positive)
nth root of the positive real number
r. While the
nth root of a positive real number
r is chosen to be the
positive real number
c satisfying
cn = r there is no natural way of distinguishing one particular complex
nth root of a complex number. Therefore, the
nth root of
z is considered as a
multivalued function (in
z), as opposed to a usual function
f, for which
f(z) is a uniquely defined number. Formulas such as
(which holds for positive real numbers), do in general not hold for complex numbers.
Properties
Field structure
The set
C of complex numbers is a
field.
[22]
Briefly, this means that the following facts hold: first, any two
complex numbers can be added and multiplied to yield another complex
number. Second, for any complex number
z, its
additive inverse −z is also a complex number; and third, every nonzero complex number has a
reciprocal complex number. Moreover, these operations satisfy a number of laws, for example the law of
commutativity of addition and multiplication for any two complex numbers
z1 and
z2:
These two laws and the other requirements on a field can be proven by
the formulas given above, using the fact that the real numbers
themselves form a field.
Unlike the reals,
C is not an
ordered field, that is to say, it is not possible to define a relation
z1 < z2
that is compatible with the addition and multiplication. In fact, in
any ordered field, the square of any element is necessarily positive, so
i2 = −1 precludes the existence of an
ordering on
C.
[23]
When the underlying field for a mathematical topic or construct is
the field of complex numbers, the topic's name is usually modified to
reflect that fact. For example:
complex analysis, complex
matrix, complex
polynomial, and complex
Lie algebra.
Solutions of polynomial equations
Given any complex numbers (called
coefficients)
a0, …, an, the equation
has at least one complex solution
z, provided that at least one of the higher coefficients
a1, …, an is nonzero.
[24] This is the statement of the
fundamental theorem of algebra, of
Carl Friedrich Gauss and
Jean le Rond d'Alembert. Because of this fact,
C is called an
algebraically closed field. This property does not hold for the
field of rational numbers Q (the polynomial
x2 − 2 does not have a rational root, since
√2 is not a rational number) nor the real numbers
R (the polynomial
x2 + a does not have a real root for
a > 0, since the square of
x is positive for any real number
x).
There are various proofs of this theorem, either by analytic methods such as
Liouville's theorem, or
topological ones such as the
winding number, or a proof combining
Galois theory and the fact that any real polynomial of
odd degree has at least one real root.
Because of this fact, theorems that hold
for any algebraically closed field, apply to
C. For example, any non-empty complex
square matrix has at least one (complex)
eigenvalue.
Algebraic characterization
The field
C has the following three properties: first, it has
characteristic 0. This means that
1 + 1 + ⋯ + 1 ≠ 0 for any number of summands (all of which equal one). Second, its
transcendence degree over
Q, the
prime field of
C, is the
cardinality of the continuum. Third, it is
algebraically closed (see above). It can be shown that any field having these properties is
isomorphic (as a field) to
C. For example, the
algebraic closure of
Qp also satisfies these three properties, so these two fields are isomorphic (as fields, but not as topological fields).
[25] Also,
C is isomorphic to the field of complex
Puiseux series. However, specifying an isomorphism requires the
axiom of choice. Another consequence of this algebraic characterization is that
C contains many proper subfields that are isomorphic to
C.
Characterization as a topological field
The preceding characterization of
C describes only the algebraic aspects of
C. That is to say, the properties of
nearness and
continuity, which matter in areas such as
analysis and
topology, are not dealt with. The following description of
C as a
topological field (that is, a field that is equipped with a
topology, which allows the notion of convergence) does take into account the topological properties.
C contains a subset
P (namely the set of positive real numbers) of nonzero elements satisfying the following three conditions:
- P is closed under addition, multiplication and taking inverses.
- If x and y are distinct elements of P, then either x − y or y − x is in P.
- If S is any nonempty subset of P, then S + P = x + P for some x in C.
Moreover,
C has a nontrivial
involutive automorphism x ↦ x* (namely the complex conjugation), such that
x x* is in
P for any nonzero
x in
C.
Any field
F with these properties can be endowed with a topology by taking the sets
B(x, p) = { y | p − (y − x)(y − x)* ∈ P } as a
base, where
x ranges over the field and
p ranges over
P. With this topology
F is isomorphic as a
topological field to
C.
The only
connected locally compact topological fields are
R and
C. This gives another characterization of
C as a topological field, since
C can be distinguished from
R because the nonzero complex numbers are
connected, while the nonzero real numbers are not.
[26]
Formal construction
Construction as ordered pairs
The set
C of complex numbers can be defined as the set
R2 of
ordered pairs (a, b) of real numbers, in which the following rules for addition and multiplication are imposed:
[27]
It is then just a matter of notation to express
(a, b) as
a + bi.
Construction as a quotient field
Though
this low-level construction does accurately describe the structure of
the complex numbers, the following equivalent definition reveals the
algebraic nature of
C more
immediately. This characterization relies on the notion of fields and
polynomials. A field is a set endowed with addition, subtraction,
multiplication and division operations that behave as is familiar from,
say, rational numbers. For example, the
distributive law
must hold for any three elements
x,
y and
z of a field. The set
R of real numbers does form a field. A polynomial
p(X) with real
coefficients is an expression of the form
- ,
where the
a0, ..., an are real numbers. The usual addition and multiplication of polynomials endows the set
R[X] of all such polynomials with a
ring structure. This ring is called the
polynomial ring over the real numbers.
The set of complex numbers is defined as the
quotient ring R[X]/(X 2 + 1).
[28] This extension field contains two square roots of
−1, namely (the
cosets of)
X and
−X, respectively. (The cosets of)
1 and
X form a basis of
R[X]/(X 2 + 1) as a real
vector space, which means that each element of the extension field can be uniquely written as a
linear combination in these two elements. Equivalently, elements of the extension field can be written as ordered pairs
(a, b) of real numbers. The quotient ring is a field, because the
(X2 + 1) is a
prime ideal in
R[X], a
principal ideal domain, and therefore is a
maximal ideal.
The formulas for addition and multiplication in the ring
R[X], modulo the relation
(X2 = 1
correspond to the formulas for addition and multiplication of complex
numbers defined as ordered pairs. So the two definitions of the field
C are
isomorphic (as fields).
Accepting that
C is algebraically closed, since it is an
algebraic extension of
R in this approach,
C is therefore the
algebraic closure of
R.
Matrix representation of complex numbers
Complex numbers
a + bi can also be represented by
2 × 2 matrices that have the following form:
Here the entries
a and
b
are real numbers. The sum and product of two such matrices is again of
this form, and the sum and product of complex numbers corresponds to the
sum and
product of such matrices, the product being:
The geometric description of the multiplication of complex numbers can also be expressed in terms of
rotation matrices
by using this correspondence between complex numbers and such matrices. Moreover, the square of the absolute value of a complex number
expressed as a matrix is equal to the
determinant of that matrix:
The conjugate
corresponds to the
transpose of the matrix.
Though this representation of complex numbers with matrices is the most common, many other representations arise from matrices
other than that square to the negative of the
identity matrix. See the article on
2 × 2 real matrices for other representations of complex numbers.
Complex analysis
Color wheel graph of
sin(1/z). Black parts inside refer to numbers having large absolute values.
The study of functions of a complex variable is known as
complex analysis and has enormous practical use in
applied mathematics as well as in other branches of mathematics. Often, the most natural proofs for statements in
real analysis or even
number theory employ techniques from complex analysis (see
prime number theorem for an example). Unlike real functions, which are commonly represented as two-dimensional graphs,
complex functions have four-dimensional graphs and may usefully be illustrated by color-coding a
three-dimensional graph to suggest four dimensions, or by animating the complex function's dynamic transformation of the complex plane.
Complex exponential and related functions
The notions of
convergent series and
continuous functions in (real) analysis have natural analogs in complex analysis. A sequence of complex numbers is said to
converge if and only if its real and imaginary parts do. This is equivalent to the
(ε, δ)-definition of limits, where the absolute value of real numbers is replaced by the one of complex numbers. From a more abstract point of view,
C, endowed with the
metric
is a complete
metric space, which notably includes the
triangle inequality
for any two complex numbers
z1 and
z2.
Like in real analysis, this notion of convergence is used to construct a number of
elementary functions: the
exponential function exp(z), also written
ez, is defined as the
infinite series
The series defining the real trigonometric functions
sine and
cosine, as well as the
hyperbolic functions
sinh and cosh, also carry over to complex arguments without change. For
the other trigonometric and hyperbolic functions, such as
tangent,
things are slightly more complicated, as the defining series do not
converge for all complex values. Therefore, one must define them either
in terms of sine, cosine and exponential, or, equivalently, by using the
method of
analytic continuation.
Euler's formula states:
for any real number
φ, in particular
Unlike in the situation of real numbers, there is an
infinitude of complex solutions
z of the equation
for any complex number
w ≠ 0. It can be shown that any such solution
z—called
complex logarithm of
w—satisfies
where arg is the
argument defined
above, and ln the (real)
natural logarithm. As arg is a
multivalued function, unique only up to a multiple of 2
π, log is also multivalued. The
principal value of log is often taken by restricting the imaginary part to the
interval (−π,π].
Complex
exponentiation zω is defined as
and is multi-valued, except when
is an integer. For
ω = 1 / n, for some natural number
n, this recovers the non-uniqueness of
nth roots mentioned above.
Complex numbers, unlike real numbers, do not in general satisfy the
unmodified power and logarithm identities, particularly when naïvely
treated as single-valued functions; see
failure of power and logarithm identities. For example, they do not satisfy
Both sides of the equation are multivalued by the definition of
complex exponentiation given here, and the values on the left are a
subset of those on the right.
Holomorphic functions
A function
f :
C →
C is called
holomorphic if it satisfies the
Cauchy–Riemann equations. For example, any
R-linear map
C →
C can be written in the form
with complex coefficients
a and
b. This map is holomorphic
if and only if b = 0. The second summand
is real-differentiable, but does not satisfy the
Cauchy–Riemann equations.
Complex analysis shows some features not apparent in real analysis. For example, any two holomorphic functions
f and
g that agree on an arbitrarily small
open subset of
C necessarily agree everywhere.
Meromorphic functions, functions that can locally be written as
f(z)/(z − z0)n with a holomorphic function
f, still share some of the features of holomorphic functions. Other functions have
essential singularities, such as
sin(1/z) at
z = 0.
Applications
Complex numbers have essential concrete applications in a variety of scientific and related areas such as
signal processing,
control theory,
electromagnetism,
fluid dynamics,
quantum mechanics,
cartography, and
vibration analysis. Some applications of complex numbers are:
Control theory
In
control theory, systems are often transformed from the
time domain to the
frequency domain using the
Laplace transform. The system's
zeros and poles are then analyzed in the
complex plane. The
root locus,
Nyquist plot, and
Nichols plot techniques all make use of the complex plane.
In the root locus method, it is important whether zeros and poles are
in the left or right half planes, i.e. have real part greater than or
less than zero. If a linear, time-invariant (LTI) system has poles that
are
If a system has zeros in the right half plane, it is a
nonminimum phase system.
Improper integrals
In applied fields, complex numbers are often used to compute certain real-valued
improper integrals, by means of complex-valued functions. Several methods exist to do this; see
methods of contour integration.
Fluid dynamics
In
fluid dynamics, complex functions are used to describe
potential flow in two dimensions.
Dynamic equations
In
differential equations, it is common to first find all complex roots
r of the
characteristic equation of a
linear differential equation or equation system and then attempt to solve the system in terms of base functions of the form
f(t) = ert. Likewise, in
difference equations, the complex roots
r
of the characteristic equation of the difference equation system are
used, to attempt to solve the system in terms of base functions of the
form
f(t) = rt.
Electromagnetism and electrical engineering
In
electrical engineering, the
Fourier transform is used to analyze varying
voltages and
currents. The treatment of
resistors,
capacitors, and
inductors
can then be unified by introducing imaginary, frequency-dependent
resistances for the latter two and combining all three in a single
complex number called the
impedance. This approach is called
phasor calculus.
In electrical engineering, the imaginary unit is denoted by
j, to avoid confusion with
I, which is generally in use to denote
electric current, or, more particularly,
i, which is generally in use to denote instantaneous electric current.
Since the
voltage in an AC
circuit is oscillating, it can be represented as
To obtain the measurable quantity, the real part is taken:
The complex-valued signal
is called the
analytic representation of the real-valued, measurable signal
.
[29]
Signal analysis
Complex numbers are used in
signal analysis
and other fields for a convenient description for periodically varying
signals. For given real functions representing actual physical
quantities, often in terms of sines and cosines, corresponding complex
functions are considered of which the real parts are the original
quantities. For a
sine wave of a given
frequency, the absolute value
| z | of the corresponding
z is the
amplitude and the
argument arg(z) is the
phase.
If
Fourier analysis
is employed to write a given real-valued signal as a sum of periodic
functions, these periodic functions are often written as complex valued
functions of the form
and
where ω represents the
angular frequency and the complex number
A encodes the phase and amplitude as explained above.
This use is also extended into
digital signal processing and
digital image processing, which utilize digital versions of Fourier analysis (and
wavelet analysis) to transmit,
compress, restore, and otherwise process
digital audio signals, still images, and
video signals.
Another example, relevant to the two side bands of
amplitude modulation of AM radio, is:
Quantum mechanics
The complex number field is intrinsic to the
mathematical formulations of quantum mechanics, where complex
Hilbert spaces
provide the context for one such formulation that is convenient and
perhaps most standard. The original foundation formulas of quantum
mechanics—the
Schrödinger equation and Heisenberg's
matrix mechanics—make use of complex numbers.
Relativity
In
special and
general relativity, some formulas for the metric on
spacetime
become simpler if one takes the time component of the spacetime
continuum to be imaginary. (This approach is no longer standard in
classical relativity, but is
used in an essential way in
quantum field theory.) Complex numbers are essential to
spinors, which are a generalization of the
tensors used in relativity.
Geometry
Fractals
Certain
fractals are plotted in the complex plane, e.g. the
Mandelbrot set and
Julia sets.
Triangles
Every triangle has a unique
Steiner inellipse—an
ellipse inside the triangle and tangent to the midpoints of the three sides of the triangle. The
foci of a triangle's Steiner inellipse can be found as follows, according to
Marden's theorem:
[30][31] Denote the triangle's vertices in the complex plane as
a = xA + yAi,
b = xB + yBi, and
c = xC + yCi. Write the
cubic equation , take its derivative, and equate the (quadratic) derivative to zero.
Marden's Theorem
says that the solutions of this equation are the complex numbers
denoting the locations of the two foci of the Steiner inellipse.
Algebraic number theory
As mentioned above, any nonconstant polynomial equation (in complex coefficients) has a solution in
C. A fortiori, the same is true if the equation has rational coefficients. The roots of such equations are called
algebraic numbers – they are a principal object of study in
algebraic number theory. Compared to
Q, the algebraic closure of
Q, which also contains all algebraic numbers,
C
has the advantage of being easily understandable in geometric terms. In
this way, algebraic methods can be used to study geometric questions
and vice versa. With algebraic methods, more specifically applying the
machinery of
field theory to the
number field containing
roots of unity, it can be shown that it is not possible to construct a regular
nonagon using only compass and straightedge – a purely geometric problem.
Another example are
Gaussian integers, that is, numbers of the form
x + iy, where
x and
y are integers, which can be used to classify
sums of squares.
Analytic number theory
Analytic number theory studies numbers, often integers or rationals,
by taking advantage of the fact that they can be regarded as complex
numbers, in which analytic methods can be used. This is done by encoding
number-theoretic information in complex-valued functions. For example,
the
Riemann zeta function ζ(s) is related to the distribution of
prime numbers.
History
The earliest fleeting reference to
square roots of
negative numbers can perhaps be said to occur in the work of the
Greek mathematician Hero of Alexandria in the 1st century
AD, where in his
Stereometrica he considers, apparently in error, the volume of an impossible
frustum of a
pyramid to arrive at the term
in his calculations, although negative quantities were not conceived of in
Hellenistic mathematics and Heron merely replaced it by its positive (
).
[32]
The impetus to study complex numbers as a topic in itself first arose in the 16th century when
algebraic solutions for the roots of
cubic and
quartic polynomials were discovered by Italian mathematicians (see
Niccolò Fontana Tartaglia,
Gerolamo Cardano).
It was soon realized that these formulas, even if one was only
interested in real solutions, sometimes required the manipulation of
square roots of negative numbers. As an example, Tartaglia's formula for
a cubic equation of the form
[33] gives the solution to the equation
x3 = x as
At first glance this looks like nonsense. However formal calculations with complex numbers show that the equation
z3 = i has solutions
−i,
and
. Substituting these in turn for
in Tartaglia's cubic formula and simplifying, one gets 0, 1 and −1 as the solutions of
x3 − x = 0.
Of course this particular equation can be solved at sight but it does
illustrate that when general formulas are used to solve cubic equations
with real roots then, as later mathematicians showed rigorously, the use
of complex numbers
is unavoidable.
Rafael Bombelli
was the first to explicitly address these seemingly paradoxical
solutions of cubic equations and developed the rules for complex
arithmetic trying to resolve these issues.
The term "imaginary" for these quantities was coined by
René Descartes in 1637, although he was at pains to stress their imaginary nature
[34]
[...] sometimes only imaginary, that is one can imagine as many as I
said in each equation, but sometimes there exists no quantity that
matches that which we imagine.
([...] quelquefois seulement imaginaires c’est-à-dire que l’on
peut toujours en imaginer autant que j'ai dit en chaque équation, mais
qu’il n’y a quelquefois aucune quantité qui corresponde à celle qu’on
imagine.)
A further source of confusion was that the equation
seemed to be capriciously inconsistent with the algebraic identity
, which is valid for non-negative real numbers
a and
b, and which was also used in complex number calculations with one of
a,
b positive and the other negative. The incorrect use of this identity (and the related identity
) in the case when both
a and
b are negative even bedeviled Euler. This difficulty eventually led to the convention of using the special symbol
i in place of
√−1 to guard against this mistake.
[citation needed]
Even so, Euler considered it natural to introduce students to complex
numbers much earlier than we do today. In his elementary algebra text
book,
Elements of Algebra, he introduces these numbers almost at once and then uses them in a natural way throughout.
In the 18th century complex numbers gained wider use, as it was
noticed that formal manipulation of complex expressions could be used to
simplify calculations involving trigonometric functions. For instance,
in 1730
Abraham de Moivre
noted that the complicated identities relating trigonometric functions
of an integer multiple of an angle to powers of trigonometric functions
of that angle could be simply re-expressed by the following well-known
formula which bears his name,
de Moivre's formula:
In 1748
Leonhard Euler went further and obtained
Euler's formula of
complex analysis:
by formally manipulating complex
power series and observed that this formula could be used to reduce any trigonometric identity to much simpler exponential identities.
The idea of a complex number as a point in the complex plane (
above) was first described by
Caspar Wessel in 1799, although it had been anticipated as early as 1685 in
Wallis's De Algebra tractatus.
Wessel's memoir appeared in the Proceedings of the
Copenhagen Academy but went largely unnoticed. In 1806
Jean-Robert Argand independently issued a pamphlet on complex numbers and provided a rigorous proof of the
fundamental theorem of algebra.
Carl Friedrich Gauss had earlier published an essentially
topological
proof of the theorem in 1797 but expressed his doubts at the time about
"the true metaphysics of the square root of −1". It was not until 1831
that he overcame these doubts and published his treatise on complex
numbers as points in the plane, largely establishing modern notation and
terminology. In the beginning of the 19th century, other mathematicians
discovered independently the geometrical representation of the complex
numbers: Buée,
Mourey,
Warren,
Français and his brother,
Bellavitis.
[35]
The English mathematician
G. H. Hardy
remarked that Gauss was the first mathematician to use complex numbers
in 'a really confident and scientific way' although mathematicians such
as
Niels Henrik Abel and
Carl Gustav Jacob Jacobi were necessarily using them routinely before Gauss published his 1831 treatise.
[36] Augustin Louis Cauchy and
Bernhard Riemann together brought the fundamental ideas of
complex analysis to a high state of completion, commencing around 1825 in Cauchy's case.
The common terms used in the theory are chiefly due to the founders. Argand called
the
direction factor, and
the
modulus; Cauchy (1828) called
the
reduced form (l'expression réduite) and apparently introduced the term
argument; Gauss used
i for
, introduced the term
complex number for
a + bi, and called
a2 + b2 the
norm. The expression
direction coefficient, often used for
, is due to Hankel (1867), and
absolute value, for
modulus, is due to Weierstrass.
Later classical writers on the general theory include
Richard Dedekind,
Otto Hölder,
Felix Klein,
Henri Poincaré,
Hermann Schwarz,
Karl Weierstrass and many others.
Generalizations and related notions
The process of extending the field
R of reals to
C is known as the
Cayley–Dickson construction. It can be carried further to higher dimensions, yielding the
quaternions H and
octonions O
which (as a real vector space) are of dimension 4 and 8, respectively.
In this context the complex numbers have been called the
binarions.
[37]
However, just as applying the construction to reals loses the property of
ordering, more properties familiar from real and complex numbers vanish with increasing dimension. The
quaternions are not commutative, i.e. for some
x, y:
x·y ≠ y·x for two quaternions. The multiplication of
octonions fails (in addition to not being commutative) to be associative: for some
x, y, z:
(x·y)·z ≠ x·(y·z).
Reals, complex numbers, quaternions and octonions are all
normed division algebras over
R. However, by
Hurwitz's theorem they are the only ones. The next step in the Cayley–Dickson construction, the
sedenions, in fact fails to have this structure.
The Cayley–Dickson construction is closely related to the
regular representation of
C, thought of as an
R-
algebra (an
R-vector space with a multiplication), with respect to the basis
(1, i). This means the following: the
R-linear map
for some fixed complex number
w can be represented by a
2 × 2 matrix (once a basis has been chosen). With respect to the basis
(1, i), this matrix is
i.e., the one mentioned in the section on matrix representation of complex numbers above. While this is a
linear representation of
C in the
2 × 2 real matrices, it is not the only one. Any matrix
has the property that its square is the negative of the identity matrix:
J2 = −I. Then
is also isomorphic to the field
C, and gives an alternative complex structure on
R2. This is generalized by the notion of a
linear complex structure.
Hypercomplex numbers also generalize
R,
C,
H, and
O. For example, this notion contains the
split-complex numbers, which are elements of the ring
R[x]/(x2 − 1) (as opposed to
R[x]/(x2 + 1)). In this ring, the equation
a2 = 1 has four solutions.
The field
R is the completion of
Q, the field of
rational numbers, with respect to the usual
absolute value metric. Other choices of
metrics on
Q lead to the fields
Qp of
p-adic numbers (for any
prime number p), which are thereby analogous to
R. There are no other nontrivial ways of completing
Q than
R and
Qp, by
Ostrowski's theorem. The algebraic closures
of
Qp still carry a norm, but (unlike
C) are not complete with respect to it. The completion
of
turns out to be algebraically closed. This field is called
p-adic complex numbers by analogy.
The fields
R and
Qp and their finite field extensions, including
C, are
local fields.